到2030年基本实现基层诊疗智能辅助应用全覆盖 促进规范人工智能深度融入健康服务（政策速递）

Core Viewpoint - The integration of artificial intelligence (AI) in healthcare is being promoted to enhance service capabilities, optimize resource allocation, and meet the growing health service demands of the population, with a target for comprehensive implementation by 2030 [1][2]. Group 1: AI Applications in Healthcare - AI is being utilized in various medical fields, including imaging diagnosis, clinical decision support, and chronic disease management, providing personalized health management advice through tools like "digital doctors" [1]. - The implementation plan emphasizes the need for AI applications in real-world healthcare scenarios, focusing on grassroots applications, clinical diagnosis, patient services, and public health [2]. Group 2: Focus on Grassroots and Integration - The plan highlights the importance of strengthening intelligent applications in community healthcare systems, enhancing chronic disease management, and promoting health management services for vulnerable populations [2]. - There is a push for the development of new service models such as intelligent health check-ups and consultations, encouraging collaboration between medical equipment manufacturers and healthcare institutions for innovative AI solutions [2]. Group 3: Regulatory and Data Management - The initiative aims to ensure that AI enhances rather than replaces human roles in healthcare, with a focus on optimizing management and regulatory frameworks, as well as protecting data security and personal privacy [3]. - Efforts will be made to establish clinical specialty data sets and AI corpora, along with a public support service platform for vertical AI models in the healthcare sector [3].